Create README.md

README.md

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+### **LoRA Model Card**: `svjack/Qwen_Image_4_Grid_Display_Lora`  
+#### **Unified Multi-Grid Concept Synthesis**  
+**Base Model**: `Qwen-Image` (Multi-modal Vision-Language Architecture)  
+**Core Function**: Generates **4 cohesive image grids** with unified style, composition, and thematic continuity for rapid design exploration.  
+**Key Strengths**:  
+- **Layout Consistency**: Seamless alignment of color palettes, perspective, and visual motifs across all grid cells.  
+- **Style Hybridization**: Integrates diverse LoRA adapters for specialized effects (e.g., anime landscapes, cyberpunk textures).  
+- **Concept Packaging**: Transforms abstract ideas into 4-variant visual prototypes for design workflows.  
+- **Efficiency Optimization**: Parallel generation of 4 images with shared latent space constraints.  
+
+---
+
+### **Adapter Configuration Guide**  
+| Adapter Name                        | Role                             | Recommended Weight |  
+|-------------------------------------|----------------------------------|-------------------|  
+| `Four_qwen_image_lora-step00002920.safetensors`              | **Grid Orchestration**           | 1.0 (Mandatory)   |  
+| `qwen-image-japanese-text-lora-step00017000.safetensors`     | Traditional Japanese Aesthetics  | 1.0           |  
+| `qwen_image_anime_landscape_lora_v1_000002000.safetensors (weight = 1.5)`   | Anime-Scene Enhancement          | 1.0-1.5           |  
+| `qwen_image_infinite_future_lora_v1_000002750.safetensors`   | Cyberpunk/Mecha Elements         | 1.0-1.5           |  
+| `qwen_image_black_white_naoki_urasawa_v1.safetensors`      | Manga Monochrome Stylization     | 1.0-1.5           |  
+
+---
+
+### **Optimized Example Prompts**  
+#### **Example 1: Japanese Doll Collection**  
+**Adapters**:  
+- `Four_qwen_image_lora` (1.0)  
+- `qwen-image-japanese-text-lora` (1.0)  
+**Prompt**:  
+```  
+"In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks."
+
+1、神社外盛开地樱花下，神社鸟居前，展示传统日式娃娃：穿十二单衣的皇室风格女娃娃，服饰绣有平安时代传统纹样，娃娃手持桧扇。
+2、神社外盛开地樱花下，神社鸟居前，展示传统日式娃娃：宫廷女官人偶，分别持酒器、乐器和文书，服饰为渐变樱色袿袴。
+3、神社外盛开地樱花下，神社鸟居前，展示传统日式娃娃：女乐师人偶，持筝、琵琶、笛等雅乐乐器，着萌黄色狩衣。
+4、神社外盛开地樱花下，神社鸟居前，展示传统日式娃娃：宫女人偶，迷你厨具和牛车模型，两侧立着金屏风与纸灯笼。
+```  
+**Key Features**:  
+- Unified backdrop: Torii gate + cherry blossom saturation  
+- Consistent doll proportions and fabric texture  
+- Symmetric composition with radial focal points  
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/XRZ5O2wcAo_q7IwZOJHFw.png)
+
+---
+
+#### **Example 2: Cybernetic Vehicle Breakout**  
+**Adapters**:  
+- `Four_qwen_image_lora` (1.0)  
+- `qwen_image_infinite_future_lora` (1.2)  
+**Prompt**:  
+```  
+"In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks."
+
+1、金属质感的IPad屏幕内部，一个立体四驱车正在从点亮的屏幕中跃出： 金属边框iPad屏幕亮起，黑色奥迪R8车体搭配橙黄条纹冲破屏幕：车头尖锐如匕首，尾部45°上翘露出碳纤维扩散器，轮胎带立体尖刺纹理；屏幕背景为蓝色电路板光效，裂痕处散发金色粒子；
+2、金属质感的IPad屏幕内部，一个立体四驱车正在从点亮的屏幕中跃出： 金属边框iPad屏幕内红黄撞色宝马M4高速跃出：方正硬朗的车身棱角分明，车顶流线贴纸呈动态模糊，轮毂泛起银色金属反光；背景为霓虹赛道投影，屏幕裂纹泛紫光；
+3、金属质感的IPad屏幕内部，一个立体四驱车正在从点亮的屏幕中跃出： iPad屏幕被白色保时捷911撞裂：流线型车身覆盖蓝色闪电浮雕纹路，可拆卸尾翼悬浮展开，大尺寸轮胎碾压处迸发冰晶特效；背景是深空粒子漩涡；
+4、金属质感的IPad屏幕内部，一个立体四驱车正在从点亮的屏幕中跃出： 半透明红蓝车壳奔驰AMG GT撕裂屏幕跃出：内部V8引擎结构透出机械红光，火焰轮毂旋转残留轨迹，分体车灯射出激光；背景为全息齿轮hologram，边框裂缝溢出蓝电火花。
+```  
+**Key Features**:  
+- Shared "shattered glass" fracture pattern  
+- Dynamic vehicle angles at 45° trajectory  
+- Synced particle effects (gold/blue sparks)  
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/EregZTffq073ZxPwsl0m3.png)
+
+---
+
+#### **Example 3: Snow Globe LEGO Series**  
+**Adapters**:  
+- `Four_qwen_image_lora` (1.0)  
+**Prompt**:  
+```  
+"In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks."
+
+1、下雪的水晶球，内部为乐高玩具：包含大象、长颈鹿等15种动物模型和可拼砌的游览车。通过大颗粒积木模拟喂食、清洁等互动场景。
+2、下雪的水晶球，内部为乐高玩具：海盗船、幽灵岛或骷髅要塞。船体设计含可升降帆布、隐藏宝藏舱和可拆卸桅杆。
+3、下雪的水晶球，内部为乐高玩具：伦敦地标建筑泰晤士河上的塔桥。套装包含4285块积木，细节高度还原，如可开合的桥面、哥特式塔楼及微型车辆。
+4、下雪的水晶球，内部为乐高玩具：龙与地下城，包含6个人仔及大量奇幻场景元素，如红龙巢穴、宝箱与陷阱机关。
+```  
+**Key Features**:  
+- Identical snow density and crystal ball refraction  
+- Minifigure scale consistency (1:87 ratio)  
+- Thematic color coding per globe (blue/green/red/gold)  
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/nX0MNtGP-2SSYEqvKWgcI.png)
+
+---
+
+#### **Example 4: Anime Waterdrop Landscapes**  
+**Adapters**:  
+- `Four_qwen_image_lora` (1.0)  
+- `qwen_image_anime_landscape_lora` (1.5)  
+**Prompt**:  
+```  
+"In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks."
+
+1、一个占据整个画面的巨大圆形水滴，水滴下是一个3D立体动漫画面，由水滴的弧度凸显出立体性：anime style, 晨光穿透薄雾洒落樱花山谷，粉白花瓣覆盖蜿蜒溪流，朱红拱桥横跨两岸，远处青山层叠如黛；卷轴边缘泛黄，金色云纹浮动
+2、一个占据整个画面的巨大圆形水滴，水滴下是一个3D立体动漫画面，由水滴的弧度凸显出立体性：anime style, 暮色中的樱花湖畔，橙红晚霞浸染水面，青石小径延伸至红木舟停泊处，花瓣飘落涟漪；卷轴两侧题有银色诗句残影
+3、一个占据整个画面的巨大圆形水滴，水滴下是一个3D立体动漫画面，由水滴的弧度凸显出立体性：anime style, 月下荧光樱花林，深蓝夜幕中花瓣如星闪烁，石灯笼沿苔藓小径排列，微光映照飘雪般的落英；卷轴裱布呈暗红织锦纹理
+4、一个占据整个画面的巨大圆形水滴，水滴下是一个3D立体动漫画面，由水滴的弧度凸显出立体性：anime style, 晨雾缭绕的樱花台地，乳白雾气缠绕青松，悬崖观景台俯瞰云海，风卷起花瓣如粉色浪涛；卷轴轴头为青玉雕花，边缘水墨晕染
+```  
+**Key Features**:  
+- Curvature lens effect across all droplets  
+- Shared scroll border design with variations  
+- Time-of-day progression (dawn → dusk → night → dawn)  
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/ajq_7pKsLxrmy5jR8HP5N.png)
+
+---
+
+#### **Example 5: Monochrome Robot Narrative**  
+**Adapters**:  
+- `Four_qwen_image_lora` (1.0)  
+- `qwen_image_black_white_naoki` (0.9)  
+**Prompt**:  
+```  
+"In the style of GPT-4o-Design-Images, Generate 4 image samples for the current design concept and piece them into 4 square blocks."
+
+1、日式黑白漫画：一个机器人在月下躺在沙漠里。周围是仙人掌和月色。
+2、日式黑白漫画：一个戴眼镜的男孩接近沙漠中躺着的机器人，在机器人身上进行修理。
+3、日式黑白漫画：机器人醒来，头边有一个白色气泡，里面有文字“谢谢!”
+4、日式黑白漫画：男孩和机器人手拉手走向远处的绿洲。
+```  
+**Key Features**:  
+- Consistent Urasawa-style screentone patterns  
+- Progressive panel sequencing (isolated → interaction → resolution)  
+- Shadow density gradient matching time progression  
+
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/634dffc49b777beec3bc6448/kcrg9XjlEQlUMPjwTTOu6.png)
+
+---
+
+### **Technical Parameters**  
+| Setting          | Value             | Notes                                  |  
+|------------------|-------------------|----------------------------------------|  
+| **Resolution**   | 1024x1024         | Optimal grid detail retention          |  
+| **CFG Scale**    | 7.5               | Balances creativity vs. prompt fidelity|  
+| **Sampler**      | DPM++ 2M Karras   | Preserves fine linework                |  
+| **Steps**        | 25                | Critical for texture coherence         |  
+| **LoRA Rank (r)**| 32                | High complexity demands (see ) |  
+| **LoRA Alpha**   | 64                | α=2r for multi-adapter fusion (see ) |  
+
+---
+
+### **Performance Profile**  
+- **VRAM Usage**: ~18GB at 1024x1024 (RTX 4090)  
+- **Generation Speed**: 12-18 sec/grid (4 images)  
+- **Troubleshooting**:  
+  - **Grid Misalignment**: Add `4x4 uniform matrix, isometric perspective` to prompt  
+  - **Style Bleed**: Reduce non-core LoRA weights by 0.3  
+  - **Color Inconsistency**: Enable `--color_sync_node` in inference pipeline  
+
+### **License**  
+Apache 2.0 (Commercial use permitted)  
+**Community Hub**: https://huggingface.co/svjack/Qwen_Image_4_Grid_Display_Lora  
+
+---